Gradients in P(O 2 ) drive demixing, but we need cation thermokinetics for prediction
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Transcript of Gradients in P(O 2 ) drive demixing, but we need cation thermokinetics for prediction
Gradients in P(O2) drive demixing, but we
need cation thermokinetics for prediction
µOµLaµSr
(La1-xSrx)MnO3±δP(O2)
Air
Electrolyte
Kinetic Monte Carlo determination of La, Sr diffusion constants
Ab Initio energetics of defect formation, interaction, hopping
+ empirical defect models
Motivation: La1-xSrxMnO3±δ (LSM) demixing potentially influences the cathode performance for Solid Oxide Fuel Cells (SOFC) .
Approach: Perform ab initio calculations to parameterize energetics on the perovskite lattice and use Monte Carlo simulations to study the LSM thermokinetics and cation demixing.
Model the rate of demixing as a function of realistic SOFC operating conditions
jV_A
jLa jSr
Ab-Initio Based Thermokinetic Modeling of Cation Demixing in La1-xSrxMnO3±δ
Dane Morgan, Department of Materials Science and Engineering, University of Wisconsin-Madison